Kumar, Lov, Vikram Singh, Lalita Bhanu Murthy, Aneesh Krishna, and Sanjay Misra. "MLAPW: A framework to assess the impact of feature selection and sampling techniques on anti-pattern prediction using WSDL metrics." Journal of Computer Languages 83 (2025): 101322.

Mehta, Sweta, Lov Kumar, Sanjay Misra, K. Sridhar Patnaik, and Vikram Singh. "Nested deep learning with learned network embeddings for software defect prediction." Applied Soft Computing 174 (2025): 113057.

Kumar, Lov, Vikram Singh, and Pratyush Mishra. "A Comprehensive Empirical Framework for Evaluating Classification-Enabled Vulnerability Prediction Models." In 2024 IEEE 21st India Council International Conference (INDICON), pp. 1-6. IEEE, 2024.

Kumar, Lov, Vikram Singh, and Pratyush Mishra. "When CodeBERT Embraces Code Embedding: An Empirical SW Reliability Folktale." In 2024 IEEE 21st India Council International Conference (INDICON), pp. 1-6. IEEE, 2024.

Kaur, Sunjit, Vikram Singh, Lov Kumar, Pratyush Mishra, and Proksh Proksh. "Empirical Insight into Question Similarity with Embedding Approaches and Learning Ecosystems." In 2024 Eighth International Conference on Parallel, Distributed and Grid Computing (PDGC), pp. 421-426. IEEE, 2024.

Kaur, Ishpreet, Lov Kumar, Vikram Singh, and Pratyush Mishra. "Embracing NLP-Enhanced Word Embeddings for Contextually Enriched Technical Debt Estimation in Software Code Comments: An Empirical Study." In 2024 OITS International Conference on Information Technology (OCIT), pp. 536-541. IEEE, 2024.

Kumar, Hitesh, Vikram Singh, and Lov Kumar. "Advancing Video Summarization Using Language-Based Attention Transformer." In 2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT), pp. 1-6. IEEE, 2024.

Patel, J., & Singh, V. (2018). Query Morphing: A Proximity-Based Approach for Data Exploration. In From Natural to Artificial Intelligence-Algorithms and Applications. IntechOpen.

Kumar, Hitesh, and Vikram Singh. "Connecting Words to Motion: Unleashing Video Highlights and Moments Through Cross Attention Temporal Grounding." In Doctoral Symposium on Computational Intelligence, pp. 91-100. Singapore: Springer Nature Singapore, 2024.

Mishra, Pratyush, Vikram Singh, Aneesh Krishna, and Lov Kumar. "An Empirical Analysis on Leveraging User Reviews with NLP-Enhanced Word Embeddings for App Rating Prediction." In International Conference on Advanced Information Networking and Applications, pp. 234-244. Cham: Springer Nature Switzerland, 2024.

Akash, Bathini Sai, Vikram Singh, Aneesh Krishna, Lalita Bhanu Murthy, and Lov Kumar. "Investigating BERT Layer Performance and SMOTE Through MLP-Driven Ablation on Gittercom." In International Conference on Advanced Information Networking and Applications, pp. 292-302. Cham: Springer Nature Switzerland, 2024.

Akshar, Tumu, Vikram Singh, NL Bhanu Murthy, Aneesh Krishna, and Lov Kumar. "A codebert based empirical framework for evaluating classification-enabled vulnerability prediction models." In Proceedings of the 17th Innovations in Software Engineering Conference, pp. 1-11. 2024.

Singh, Vikram, Lov Kumar, Anoop Kumar Patel, and Aneesh Krishna. "An Empirical Framework for Malware Prediction Using Multi-Layer Perceptron." In 2023 OITS International Conference on Information Technology (OCIT), pp. 485-490. IEEE, 2023.

Akash, Bathini Sai, Lov Kumar, Vikram Singh, Anoop Kumar Patel, and Aneesh Krishna. "Empirical analysis of multi-label classification on gittercom using bert and ml classifiers." In International Conference on Neural Information Processing, pp. 240-252. Singapore: Springer Nature Singapore, 2023.

Singh, Vikram, and Sohan Kumar. "Temporal Intelligence: Recognizing User Activities with Stacked LSTM Networks." In International Conference on Advanced Communications and Machine Intelligence, pp. 309-319. Singapore: Springer Nature Singapore, 2023.

Singh, Vikram, and Devanand Gamboir. "Unveiling User Influence: An Adaptive Algorithm for Socialness Estimation through User-Reply Semantics." In Proceedings of the Third International Conference on AI-ML Systems, pp. 1-11. 2023.

Kumar, Lov, Vikram Singh, Lalita Bhanu Murthy Neti, Sanjay Misra, and Aneesh Krishna. "An Empirical Framework for Software Aging-Related Bug Prediction using Weighted Extreme Learning Machine." In FedCSIS (Communication Papers), pp. 181-188. 2023.

[2]. Singh, Vikram, and S. K. Jain. "A progressive query materialization for interactive data exploration." 1st International Workshop, Social Data Analytics and Management (SoDAM’2016) Co-located at. Vol. 44. 2016

Kumar, Satish, and Vikram Singh. "Multi-Strategy Based Matching Technique for Ontology Integration." Computational Intelligence in Data Mining-Volume 3. Springer, New Delhi, 2014. 135-148.

Kumar, V & Singh, V. An Automatic Intent Modelling Algorithm for Interactive Data Exploration." Computational Intelligence in Data Mining-Volume 3. Springer, New Delhi, 2018. 135-148.

Sinha, Ashutosh Kr, Lov Kumar, and Vikram Singh. "Exploring Meta-Embeddings in Ensemble and Deep Learning for Gittercom Message Category Prediction." In 2024 OITS International Conference on Information Technology (OCIT), pp. 186-192. IEEE, 2024.

Singh, Vikram, and Sohan Kumar. "Temporal Intelligence: Recognizing User Activities with Stacked LSTM Networks." In International Conference on Advanced Communications and Machine Intelligence, pp. 309-319. Singapore: Springer Nature Singapore, 2023.

Kumar, Lov, Vikram Singh, Srivalli Patel, and Pratyush Mishra. "Empowering SW Security: CodeBERT and Machine Learning Approaches to Vulnerability Detection." In Proceedings of the 21st International Conference on Natural Language Processing (ICON), pp. 399-407. 2024.

Kumar, Lov, Vikram Singh, and Pratyush Mishra. "Mocktails of Translation, Ensemble Learning and Embeddings to tackle Hinglish NLP challenges." In Proceedings of the 21st International Conference on Natural Language Processing (ICON), pp. 593-601. 2024.

Dr. H PARTHASARATHI, Dr. DHIRAJ PANDEY, Dr.T.V.NAGARAJU, Dr VIKRAM SINGH, Mr. PHANI SRIDHAR ADDEPALLI , ‘Block Chain and Its Applications’ ISBN 978-81-19359-51-6, DOI: doi.org/10.5281/zenodo.8398589, Cosmos Publication, Year 2023

U D Prasan, Mahesh Kumar Mishra, Vikram Singh, Balachandra P Shetty, Budaraju Srinivas, ‘Artificial Intelligence approach in Database Management System, ISBN 978-81-19359-67-7, DOI: doi.org/10.5281/zenodo.10215813, Cosmos Publication, Year 2023

Singh, Vikram, and Balwinder Saini. "An Effective Tokenization Algorithm for Information Retrieval Systems." Department of Computer Engineering, National Institute of Technology Kurukshetra, Haryana, India (2014).

Singh, Vikram, and Vikash Mishra. "Distributed query plan generation using aggregation based multi-objective genetic algorithm." Proceedings of the 2014 International Conference on Information and Communication Technology for Competitive Strategies. ACM, 2014.

Fundamanetal of Database system.